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132820

Surface Roughness Measurement Using Light Sectioning Method and Computer Vision Techniques.

Article

Last updated: 22 Jan 2023

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Subjects

-

Tags

Production Engineering and Mechanical Design

Abstract

 The development of new industries has led to a requirement for super-smooth surfaces and for the ability to measure surfaces of industrial parts accurately; therefore, the measurement of engineering surface roughness is becoming increasingly important. In this work, a new approach is introduced to measure surface roughness by combining a light sectioning microscope and a computer vision system. This method has the advantage of being non-contact. The light sectioning microscope is used to view roughness profiles of the specimens to be measured and the vision system is used to capture images for the viewed profiles. A special program (named SRLSVision) has been totally developed in-house using MatlabTM software to analyze the captured images through two modules. The first module is used to extract the roughness profiles from the captured images by applying various image processing and computer vision algorithms. The second module is used to calculate the ISO roughness parameters (22 parameters) from the extracted profiles. The system has been calibrated for metric units and verified using a standard specimen. In addition, the system was used to measure various samples: machined by different operations and the obtained results were compared with the results obtained by measuring the same samples using a stylus instrument. The accuracy of the system proved to be within ±5.5% compared with the stylus instrument readings.

DOI

10.21608/bfemu.2020.132820

Authors

First Name

N.

Last Name

Elhamshary

MiddleName

-

Affiliation

Workers University, Mansoura, Egypt

Email

-

City

Mansoura

Orcid

-

First Name

Ossama Badie

Last Name

Abouelatta

MiddleName

Shafik

Affiliation

Production Engineering and Mechanical Design Department,El- Mansoura University, Faculty of Engineering, Mansoura, Egypt

Email

abonelaita@mans.edu.eg

City

Mansoura

Orcid

-

First Name

Ibrahim Mohamed

Last Name

Amar

MiddleName

Ibrahim Elewa

Affiliation

Production Engineering and Mechanical Design Department., El- Mansoura University, Faculty of Engineering, Mansoura, Egypt

Email

-

City

Mansoura

Orcid

-

First Name

Elamir

Last Name

Gadelmawla

MiddleName

Samy

Affiliation

Production Engineering and Mechanical Design Department, Faculty of Engineering, Mansoura University, 35516 Mansoura, Egypt

Email

esamy@mans.edu.eg

City

Mansoura

Orcid

-

Volume

29

Article Issue

1

Related Issue

19655

Issue Date

2004-03-01

Receive Date

2004-01-11

Publish Date

2020-12-27

Page Start

13

Page End

24

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 29_Issue 1_Pages 13-24.pdf

PDF . 530.1kB

Link

https://bfemu.journals.ekb.eg/article_132820.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=132820

Order

20

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023